449 Open source projects that are alternatives of or similar to machine_learning

Fast Best-Subset Selection Library

ICDSS Machine Learning Workshop Series: Linear Models

100 Days of ML Coding

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Machine Learning Course @ Santa Clara University

For extensive instructor led learning

General Assembly's 2015 Data Science course in Washington, DC

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

rust implementation of octree algorithm for nearest neighbor search in 3D space

Complete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian

Pedestrian Detection using Non Maximum Suppression

My textbook for teaching Machine Learning

Testing doing basic regression with web assembly

📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Polyaxon Core Client & CLI to streamline MLOps

Machine Learning Procedures and Functions for Neo4j

NYC WiMLDS scikit-learn open source sprint (Aug 24, 2019)

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

Basic Machine Learning implementation with python

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Unofficial python wrapper to the nanoflann k-d tree

Machine learning in Python with scikit-learn MOOC

(Python) transform a document-term matrix to an Okapi/BM25 representation

Matlab library for gradient descent algorithms: Version 1.0.1

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

A library to parse and convert PMML models into Scikit-learn estimators.

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

2019년 민족사관고등학교 졸업 프로젝트

Software platform for clinical neuroimaging studies

An introductory statistics course for social scientists, using Stata

Predict materials properties using only the composition information!

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

This repository is a recommended track, designed to get started with Machine Learning.

simple Echo State Networks integrated with scikit-learn

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

bitcoin prediction algorithms

Python module for performing linear regression for data with measurement errors and intrinsic scatter

A module for allowing the use of multiple metric functions in scikit's cross_val_score

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

Python for chemoinformatics

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

A Python package for fitting Quinlan's Cubist regression model

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

REST API (and possible UI) for Machine Learning workflows

Tools that make working with scikit-learn and pandas easier.

機器學習: Python

a collection of modern sparse (regularized) linear regression algorithms.

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Automatic machine learning for tabular data. ⚡🔥⚡

Content Based Music Recommendation Service

15+ Machine/Deep Learning Projects in Ipython Notebooks

<Do it! 딥러닝 입문> 도서의 주피터 노트북

Algorithmic trading using machine learning.

Misc Statistics and Machine Learning codes in R